Abudureheman Abuduaini, Nilupaer Aishanjiang
Xinjiang University of Finance and Economics, Urumqi, 830012 China.
Soft comput. 2021;25(18):12007-12015. doi: 10.1007/s00500-021-05685-6. Epub 2021 Mar 6.
In order to better accelerate the transition from traditional trade to cross-border e-commerce, a cross-border e-commerce transportation route optimization model was designed in the context of the prevention and control of new crown pneumonia. Against the background of the new coronavirus pneumonia, through the analysis and research of the current situation of domestic and foreign e-commerce logistics, optimize the cross-border e-commerce logistics distribution model, establish an environmental model, and use efficient search algorithms to search for walking paths that meet environmental requirements. Based on the Dijkstra algorithm model of demand, and based on the linear relationship between demand and delivery distance, an optimal route selection model is established to select the optimal route with the shortest total travel distance. The simulation results show that the cross-border e-commerce transportation time of this model is within 13 h, which is shorter than that of the traditional model. The search efficiency of the optimal route for cross-border e-commerce transportation is higher, and the time for cross-border e-commerce transportation is shorter.
为了更好地加速从传统贸易向跨境电子商务的转型，在新冠肺炎防控背景下设计了一种跨境电子商务运输路线优化模型。在新型冠状病毒肺炎背景下，通过对国内外电子商务物流现状的分析研究，优化跨境电子商务物流配送模式，建立环境模型，并使用高效搜索算法搜索符合环境要求的行走路径。基于需求的迪杰斯特拉算法模型，并且基于需求与配送距离之间的线性关系，建立最优路线选择模型以选择总行程距离最短的最优路线。仿真结果表明，该模型的跨境电子商务运输时间在13小时以内，比传统模型的运输时间短。跨境电子商务运输最优路线的搜索效率更高，且跨境电子商务运输时间更短。
